Malcolm Mielle is a research-driven engineering leader with 11 years of experience at the intersection of machine learning, robotics, and sustainable urban systems, currently leading the Schindler Lab at EPFL. He has hands-on expertise in robot manipulation, indoor mapping, real-time sensor fusion and safety-critical motion detection, having shipped production features for UVC robots and coordinated multi-sensor latency calibration. A PhD-trained roboticist, Malcolm combines academic rigor from Örebro University with practical product delivery across startups and industry partners. Based in Renens, Switzerland, he focuses on making cities more resilient and energy-efficient by translating ML research into deployable urban and robotic solutions. An often-overlooked strength is his track record in integrating hardware maintenance and partner-driven system integration, which keeps complex research prototypes production-ready.
12 years of coding experience
Master of Engineering (MEng), Ingénierie mécatronique, robotique et automatisation, Master of Engineering (MEng), Ingénierie mécatronique, robotique et automatisation at Polytech Sorbonne
Doctorat de philosophie, Robotics, Doctorat de philosophie, Robotics at Örebro universitet
Semester abroad, Robotics, Semester abroad, Robotics at The University of British Columbia
Deug, Deug at Université de Provence (Aix-Marseille II)
Contributions:39 commits, 1 branch in 2 years 2 months
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